Computer Vision Cluster
Computer vision comprises a set of methods and algorithms for understanding the content of images and video, including recognizing people and objects, estimating the 3D location and shape of a scene, and understanding motion of objects. Students in this cluster will learn fundamental concepts from artificial intelligence and machine learning, will be introduced to image analysis techniques, and will engage in a meaningful project. Students completing this cluster will be prepared for graduate study and research in computer vision or employment in a position that includes coding or using image analysis software.
Related courses (if you like these courses, you may like this cluster)
CSE 101 - Design and Analysis of Algorithms
Math 20A/B - Calculus for Science and Engineering
Math 20C - Calculus and Analytical Geometry for Science and Engineering
Math 20D - Introduction to Differential Equations
Math 20F - Linear Algebra
Required Courses
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Either CSE 150 or 151
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Either CSE 152 or 166
- Choose one course from the following list: CSE 155 and CSE 190 - Biometrics
Cluster Sponsors
CSE undergraduate students are encouraged to collaborate on projects and research with CSE faculty, CSE graduate students and CSE undergraduate students. Students may receive course credit for completed work by enrolling into CSE 199 - Independent Study. Students are furthermore encouraged to pursue an Honor's Project and continue their independent work. . There are many opportunities in the CSE Department to join a research project. If you want to work on research in this field, contact faculty listed below.
